Analyzing Social Networks Using R (SAGE Publications)
Friday, 24 June 2022

This book introduces network research in R, walking the reader through every step of doing social network analysis. Drawing together research design, data collection and data analysis, Stephen Borgatti et al explain the core concepts of network analysis in a non-technical way. The book balances an easy to follow explanation of the theoretical and statistical foundations underpinning network analysis with practical guidance on key steps like data management, preparation and visualisation.

<ASIN:1529722470>

It presents an easy to follow explanation of the theoretical and statistical foundations underpinning network analysis with practical guidance on key steps like data management, preparation and visualisation.

Author: Stephen Borgatti, Martin Everett, Jeffrey Johnson and Filip Agneessens
Publisher: SAGE Publications Ltd
Date: June 2022
Pages: 384
ISBN: 978-1529722475
Print: 1529722470
Kindle: B09YMFBVX2
Audience: data analysts
Level: Intermediate
Category: Data Science

For recommendations of R books that the I Programmer team has reviewed, see Really Good R Books, the latest addition to our Programmer's Bookshelf section.

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Visual Basic (6th Ed)

Author: Mike McGrath
Publisher: Easy Steps
Pages: 192
ISBN: 978-1840788723
Print:1840788720
Kindle: B07VKPKCK1
Audience: Beginners
Rating: 4
Reviewer: Lucy Black

This is a colorful short book. This makes it very suitable as an introduction for the complete beginner. 



Effective Python, 2nd Ed

Author: Brett Slatkin
Publisher: Addison-Wesley Professional
Pages: 480
ISBN: 978-0134853987
Print: 0134853989
Kindle: B07ZG18BH3
Audience: Python developers
Rating: 5
Reviewer: Mike James
Better Python - sounds like a fun read.


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